Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy)
Coastal areas are influenced by natural processes and human activities and require effective monitoring tools to understand their dynamic evolution. This study utilizes satellite imagery and semi-automatic shoreline extraction algorithms (CoastSat and SAET) to assess coastal erosion in the Gulf of O...
Gardado en:
| Main Authors: | , , , , , , |
|---|---|
| Formato: | Online |
| Idioma: | inglés |
| Publicado: |
Firenze University Press
2025
|
| Subjects: | |
| Acceso en liña: | ONIX_20250801T173835_9791221505566_292 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|
| _version_ | 1869514843013251072 |
|---|---|
| author | Terracciano, Sabrina Montes-Pérez, Juan Brunetta, Riccardo Cabrita, Paulo Duo, Enrico Ciavola, Paolo Armaroli, Clara |
| author_browse | Armaroli, Clara Brunetta, Riccardo Cabrita, Paulo Ciavola, Paolo Duo, Enrico Montes-Pérez, Juan Terracciano, Sabrina |
| author_facet | Terracciano, Sabrina Montes-Pérez, Juan Brunetta, Riccardo Cabrita, Paulo Duo, Enrico Ciavola, Paolo Armaroli, Clara |
| author_sort | Terracciano, Sabrina |
| collection | Directory of Open Access Books |
| description | Coastal areas are influenced by natural processes and human activities and require effective monitoring tools to understand their dynamic evolution. This study utilizes satellite imagery and semi-automatic shoreline extraction algorithms (CoastSat and SAET) to assess coastal erosion in the Gulf of Oristano over long-term and short-term periods. The algorithms' performance was validated using PRISMA and Sentinel-2 imagery, alongside RTK-GNSS surveys acquired during ASI OVERSEE project fieldwork. The field site beaches vary in exposure due to their positions, and their morphologies are influenced by the presence of Posidonia oceanica banquettes. A one-year analysis focused on Arborea Beach, where periodic Posidonia banquettes affect the accuracy of Satellite-Derived Shorelines (SDSs). The study shows the beach's susceptibility to storm surges, evidenced by significant erosion after a major storm in March. Despite algorithmic limitations, automated shoreline extraction allows efficient temporal analysis. This research evidences the role of advanced algorithms in precise coastal monitoring, offering crucial insights into erosion dynamics and supporting effective mitigation strategies. |
| format | Online |
| id | doab-20.500.12854ir-163291 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1632912025-08-02T05:00:48Z Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy) Terracciano, Sabrina Montes-Pérez, Juan Brunetta, Riccardo Cabrita, Paulo Duo, Enrico Ciavola, Paolo Armaroli, Clara Coastal dynamics CoastSat SAET Coastal areas are influenced by natural processes and human activities and require effective monitoring tools to understand their dynamic evolution. This study utilizes satellite imagery and semi-automatic shoreline extraction algorithms (CoastSat and SAET) to assess coastal erosion in the Gulf of Oristano over long-term and short-term periods. The algorithms' performance was validated using PRISMA and Sentinel-2 imagery, alongside RTK-GNSS surveys acquired during ASI OVERSEE project fieldwork. The field site beaches vary in exposure due to their positions, and their morphologies are influenced by the presence of Posidonia oceanica banquettes. A one-year analysis focused on Arborea Beach, where periodic Posidonia banquettes affect the accuracy of Satellite-Derived Shorelines (SDSs). The study shows the beach's susceptibility to storm surges, evidenced by significant erosion after a major storm in March. Despite algorithmic limitations, automated shoreline extraction allows efficient temporal analysis. This research evidences the role of advanced algorithms in precise coastal monitoring, offering crucial insights into erosion dynamics and supporting effective mitigation strategies. 2025-08-02T05:00:47Z 2025-08-02T05:00:47Z 2025-08-01T15:58:47Z 2024 chapter ONIX_20250801T173835_9791221505566_292 2975-0288 https://library.oapen.org/handle/20.500.12657/104842 9791221505566 https://directory.doabooks.org/handle/20.500.12854/163291 eng Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques open access image/jpeg Attribution-NonCommercial-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/104842/1/43716.pdf Firenze University Press 10.36253/979-12-215-0556-6.71 10.36253/979-12-215-0556-6.71 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221505566 13 Florence open access |
| spellingShingle | Coastal dynamics CoastSat SAET Terracciano, Sabrina Montes-Pérez, Juan Brunetta, Riccardo Cabrita, Paulo Duo, Enrico Ciavola, Paolo Armaroli, Clara Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy) |
| title | Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy) |
| title_full | Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy) |
| title_fullStr | Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy) |
| title_full_unstemmed | Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy) |
| title_short | Chapter Shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the Gulf of Oristano (Sardinia, Italy) |
| title_sort | chapter shoreline detection by applying semiautomatic algorithms for hyperspectral and multispectral satellite imagery on the beaches of the gulf of oristano sardinia italy |
| topic | Coastal dynamics CoastSat SAET |
| topic_facet | Coastal dynamics CoastSat SAET |
| url | ONIX_20250801T173835_9791221505566_292 |
| work_keys_str_mv | AT terraccianosabrina chaptershorelinedetectionbyapplyingsemiautomaticalgorithmsforhyperspectralandmultispectralsatelliteimageryonthebeachesofthegulfoforistanosardiniaitaly AT montesperezjuan chaptershorelinedetectionbyapplyingsemiautomaticalgorithmsforhyperspectralandmultispectralsatelliteimageryonthebeachesofthegulfoforistanosardiniaitaly AT brunettariccardo chaptershorelinedetectionbyapplyingsemiautomaticalgorithmsforhyperspectralandmultispectralsatelliteimageryonthebeachesofthegulfoforistanosardiniaitaly AT cabritapaulo chaptershorelinedetectionbyapplyingsemiautomaticalgorithmsforhyperspectralandmultispectralsatelliteimageryonthebeachesofthegulfoforistanosardiniaitaly AT duoenrico chaptershorelinedetectionbyapplyingsemiautomaticalgorithmsforhyperspectralandmultispectralsatelliteimageryonthebeachesofthegulfoforistanosardiniaitaly AT ciavolapaolo chaptershorelinedetectionbyapplyingsemiautomaticalgorithmsforhyperspectralandmultispectralsatelliteimageryonthebeachesofthegulfoforistanosardiniaitaly AT armaroliclara chaptershorelinedetectionbyapplyingsemiautomaticalgorithmsforhyperspectralandmultispectralsatelliteimageryonthebeachesofthegulfoforistanosardiniaitaly |